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Everything about programming for beginners
* Python programming
* Java programming
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* Machine Learning
* Data Science

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๐ƒ๐š๐ญ๐š ๐’๐ญ๐ซ๐ฎ๐œ๐ญ๐ฎ๐ซ๐ž๐ฌ : ๐„๐ฑ๐ฉ๐ฅ๐จ๐ซ๐ž ๐ฅ๐ข๐ฌ๐ญ๐ฌ, ๐ญ๐ฎ๐ฉ๐ฅ๐ž๐ฌ, ๐š๐ง๐ ๐๐ข๐œ๐ญ๐ข๐จ๐ง๐š๐ซ๐ข๐ž๐ฌ
๐‹๐ข๐ฌ๐ญ๐ฌ:
- Lists are ordered collections of items.
- They are mutable, meaning you can change their content after creation.
- You can have duplicate values in a list.
- Lists are defined using square brackets [ ].

Example:
my_list = [1, 2, 3, 'apple', 'banana', 'cherry']

๐“๐ฎ๐ฉ๐ฅ๐ž๐ฌ:
- Tuples are ordered collections of items, similar to lists.
- However, they are immutable, meaning once created, their content cannot be changed.
- Tuples are defined using parentheses ( ).
- You can have duplicate values in a tuple.

Example:
my_tuple = (1, 2, 3, 'apple', 'banana', 'cherry')

๐ƒ๐ข๐œ๐ญ๐ข๐จ๐ง๐š๐ซ๐ข๐ž๐ฌ:
- Dictionaries are unordered collections of items that are stored as key-value pairs.
- They are mutable.
- Dictionaries are defined using curly braces { }.
- Each key in a dictionary must be unique, but the values can be duplicated.

Example:
my_dict = {'name': 'John', 'age': 30, 'city': 'New York'}

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DSA INTERVIEW QUESTIONS AND ANSWERS

1. What is the difference between file structure and storage structure?
The difference lies in the memory area accessed. Storage structure refers to the data structure in the memory of the computer system,
whereas file structure represents the storage structure in the auxiliary memory.

2. Are linked lists considered linear or non-linear Data Structures?
Linked lists are considered both linear and non-linear data structures depending upon the application they are used for. When used for
access strategies, it is considered as a linear data-structure. When used for data storage, it is considered a non-linear data structure.

3. How do you reference all of the elements in a one-dimension array?
All of the elements in a one-dimension array can be referenced using an indexed loop as the array subscript so that the counter runs
from 0 to the array size minus one.

4. What are dynamic Data Structures? Name a few.
They are collections of data in memory that expand and contract to grow or shrink in size as a program runs. This enables the programmer
to control exactly how much memory is to be utilized.Examples are the dynamic array, linked list, stack, queue, and heap.

5. What is a Dequeue?
It is a double-ended queue, or a data structure, where the elements can be inserted or deleted at both ends (FRONT and REAR).

6. What operations can be performed on queues?
enqueue() adds an element to the end of the queue
dequeue() removes an element from the front of the queue
init() is used for initializing the queue
isEmpty tests for whether or not the queue is empty
The front is used to get the value of the first data item but does not remove it
The rear is used to get the last item from a queue.

7. What is the merge sort? How does it work?
Merge sort is a divide-and-conquer algorithm for sorting the data. It works by merging and sorting adjacent data to create bigger sorted
lists, which are then merged recursively to form even bigger sorted lists until you have one single sorted list.

8.How does the Selection sort work?
Selection sort works by repeatedly picking the smallest number in ascending order from the list and placing it at the beginning. This process is repeated moving toward the end of the list or sorted subarray.

Scan all items and find the smallest. Switch over the position as the first item. Repeat the selection sort on the remaining N-1 items. We always iterate forward (i from 0 to N-1) and swap with the smallest element (always i).

Time complexity: best case O(n2); worst O(n2)

Space complexity: worst O(1)

9. What are the applications of graph Data Structure?
Transport grids where stations are represented as vertices and routes as the edges of the graph
Utility graphs of power or water, where vertices are connection points and edge the wires or pipes connecting them
Social network graphs to determine the flow of information and hotspots (edges and vertices)
Neural networks where vertices represent neurons and edge the synapses between them

10. What is an AVL tree?
An AVL (Adelson, Velskii, and Landi) tree is a height balancing binary search tree in which the difference of heights of the left
and right subtrees of any node is less than or equal to one. This controls the height of the binary search tree by not letting
it get skewed. This is used when working with a large data set, with continual pruning through insertion and deletion of data.

11. Differentiate NULL and VOID ?
Null is a value, whereas Void is a data type identifier
Null indicates an empty value for a variable, whereas void indicates pointers that have no initial size
Null means it never existed; Void means it existed but is not in effect

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Software Engineer: C++ C# Java, Python, JavaScript

Web Dev: HTML, CSS, JavaScript, NodeJS

Game Dev: Unity, Unreal, Java

App Dev: Flutter, Objective C, Java, Swift, Kotlin, React

Cyber Security: Python, Linux, Networking

AI & Data Science - Julia, Haskell
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Famous Programming Languages and Their Frameworks

1. Python:
Frameworks:

Django

Flask

Pyramid

Tornado


2. JavaScript:
Frameworks (Front-End):

React

Angular

Vue.js

Ember.js


Frameworks (Back-End):

Node.js (Runtime)

Express.js

Nest.js

Meteor


3. Java:
Frameworks:

Spring Framework

Hibernate

Apache Struts

Play Framework


4. Ruby:
Frameworks:

Ruby on Rails (Rails)

Sinatra

Hanami


5. PHP:
Frameworks:

Laravel

Symfony

CodeIgniter

Yii

Zend Framework


6. C#:
Frameworks:

.NET Framework

ASP.NET

ASP.NET Core


7. Go (Golang):
Frameworks:

Gin

Echo

Revel


8. Rust:
Frameworks:

Rocket

Actix

Warp


9. Swift:
Frameworks (iOS/macOS):

SwiftUI

UIKit

Cocoa Touch


10. Kotlin:
Frameworks (Android):

Android Jetpack

Ktor


11. TypeScript:
Frameworks (Front-End):

Angular

Vue.js (with TypeScript)

React (with TypeScript)


12. Scala:
Frameworks:

Play Framework

Akka


13. Perl:
Frameworks:

Dancer

Catalyst


14. Lua:
Frameworks:

OpenResty (for web development)


15. Dart:
Frameworks:

Flutter (for mobile app development)


16. R:
Frameworks (for data science and statistics):

Shiny

ggplot2


17. Julia:
Frameworks (for scientific computing):

Pluto.jl

Genie.jl


18. MATLAB:
Frameworks (for scientific and engineering applications):

Simulink


19. COBOL:
Frameworks:

COBOL-IT


20. Erlang:
Frameworks:

Phoenix (for web applications)


21. Groovy:
Frameworks:
Grails (for web applications)

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Evolution of Programming Languages๐Ÿ–ฅ๏ธ


๐Ÿ”ฐProgramming Languages๐Ÿ”ฐ

1. JAVA:
More than 85% android apps are created using JAVA. It is also used in big (big means big) websites. It is a portable programming language which makes it easy to use on multi platforms.
2. Java Script:
Its a browser/client side language. It makes the webpage more interactive. Like for example when you enter a comment on Facebook then the whole page doesnโ€™t load., just that comment is added. This kind of functionalities are added into webpages with JavaScript. Javascript brought about a revolution in webapps.
3. Assembly Language:
The most low level programming language because its nothing more than machine code written in human readable form. Its hard to write and you need to have deep understanding of computers to use this because you are really talking with it. Its very fast in terms of execution.
4. C:
Its a low level language too thatโ€™s why its fast. It is used to program operating system, computer games and software which need to be fast. It is hard to write but gives you more control of your computer.
5. C++ :
Its C with more features and those features make it more complex.
6. Perl:
A language which was developed to create small scripts easily . Programming in Perl is easy and efficient but the programs are comparatively slower.
7. Python:
Perl was made better and named Python. Its easy, efficient and flexible. You can automate things with python in a go.
8. Ruby:
Its similar to Python but it became popular when they created a web application development framework named Rails which lets developers to write their web application conveniently.
9. HTML and CSS:
HTML and CSS are languages not programming languages because they are just used display things on a website. They do not do any actual processing. HTML is used to create the basic structure of the website and then CSS is used to make it look good.
10. PHP:
It is used to process things in a website. It is server-sided language as it doesnโ€™t get executed in user browser, but on the server. It can be used to generate dynamic webpage content.
11. SQL:
This is not exactly a programming language. It is used to interact with databases.

โžก๏ธ This list could be long because there are too many programming language but I introduced you to the popular ones.

โ“Which Language Should Be Your First Programming Language?
โœ… Suggestions..
1. Getting Started
Learn HTML & CSS. They are easy and will give you a basic idea of how programming works. You will be able to create your own webpages. After HTML you can go with PHP and SQL, so will have a good grasp over web designing and then you can go with python, C or Java. I assure you that PHP, HTML and SQL will be definitely useful in your hacking journey.
2. Understanding Computer And Programming Better
C..The classic C! C is one of the most foundational languages. If you learn C, you will have a deep knowledge of Computers and you will have a greater understanding of programming too, that will make you a better programmer. You will spend most of your time compiling though (just trying to crack a joke).
3. Too Eager To Create Programs?
Python! Python is very easy to learn and you can create a program which does something instead of programming calculators. Well Python doesnโ€™t start you from the basics but with if you know python, you will be able to understand other languages better. One benefit of python is that you donโ€™t need to compile the script to run it, just write one and run it.

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COMMON TERMINOLOGIES IN PYTHON - PART 1

Have you ever gotten into a discussion with a programmer before? Did you find some of the Terminologies mentioned strange or you didn't fully understand them?

In this series, we would be looking at the common Terminologies in python.

It is important to know these Terminologies to be able to professionally/properly explain your codes to people and/or to be able to understand what people say in an instant when these codes are mentioned. Below are a few:

IDLE (Integrated Development and Learning Environment) - this is an environment that allows you to easily write Python code. IDLE can be used to execute a single statements and create, modify, and execute Python scripts.

Python Shell - This is the interactive environment that allows you to type in python code and execute them immediately

System Python - This is the version of python that comes with your operating system

Prompt - usually represented by the symbol ">>>" and it simply means that python is waiting for you to give it some instructions

REPL (Read-Evaluate-Print-Loop) - this refers to the sequence of events in your interactive window in form of a loop (python reads the code inputted>the code is evaluated>output is printed)

Argument - this is a value that is passed to a function when called eg print("Hello World")... "Hello World" is the argument that is being passed.

Function - this is a code that takes some input, known as arguments, processes that input and produces an output called a return value. E.g print("Hello World")... print is the function

Return Value - this is the value that a function returns to the calling script or function when it completes its task (in other words, Output). E.g.
>>> print("Hello World")
Hello World
Where Hello World is your return value.

Note: A return value can be any of these variable types: handle, integer, object, or string

Script - This is a file where you store your python code in a text file and execute all of the code with a single command

Script files - this is a file containing a group of python scripts
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